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ORCIDAdrien F. Vincent
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2020 – today
- 2024
[c13]Amélie Gruel, Adrien F. Vincent, Jean Martinet, Sylvain Saïghi:
Neuromorphic Event-based Line Detection on SpiNNaker. AICAS 2024: 36-40- [c12]Pierre Lewden
, Adrien F. Vincent, Jean Tomas, Chip-Hong Chang, Sylvain Saïghi:
Effect of Line Resistance of Passive Memristive Crossbars on Spiking Neural Network Performance. AICAS 2024: 403-407 - 2023
- [j4]Clémence Gillet, Adrien F. Vincent, Bertrand Le Gal, Sylvain Saïghi:
A High-Level Methodology to Evaluate and Optimize Digital Architectures Targeting Spike Encoding. IEEE Access 11: 120654-120665 (2023) - [j3]Pierre Lewden, Adrien F. Vincent, Jean Tomas, Sylvain Saïghi:
On-the-Fly Learning With Mixed-Mode Spiking Neural Network and Passive Memristive Array: Application to Neuromorphic Cameras. IEEE Access 11: 146103-146121 (2023) - 2022
- [c11]Clémence Gillet, Adrien F. Vincent, Bertrand Le Gal, Sylvain Saïghi:
Flexible design methodology for spike encoding implementation on FPGA. BioCAS 2022: 379-383 - [i5]Andrew Ross, Nathan Leroux, Arnaud De Riz, Danijela Markovic, Dédalo Sanz-Hernández, Juan Trastoy, Paolo Bortolotti, Damien Querlioz, Leandro Martins, Luana Benetti, Marcel S. Claro, Pedro Anacleto, Alejandro Schulman, Thierry Taris, Jean-Baptiste Bégueret, Sylvain Saïghi, Alex S. Jenkins, Ricardo Ferreira, Adrien F. Vincent, Alice Mizrahi, Julie Grollier:
Multilayer spintronic neural networks with radio-frequency connections. CoRR abs/2211.03659 (2022) - 2020
- [c10]Pierre Lewden, Adrien F. Vincent, Charly Meyer, Jean Tomas, Sylvain Saïghi:
Toward Hardware Spiking Neural Networks with Mixed-Signal Event-Based Learning Rules. IJCNN 2020: 1-8 - [i4]Nan Wu, Adrien F. Vincent, Dmitri B. Strukov, Yuan Xie:
Memristor Hardware-Friendly Reinforcement Learning. CoRR abs/2001.06930 (2020)
2010 – 2019
- 2019
- [c9]Pierre Lewden, Adrien F. Vincent, Charly Meyer, Jean Tomas, Shidoush Siami, Sylvain Saïghi:
Hardware Spiking Neural Networks: Slow Tasks Resilient Learning with Longer Term-Memory Bits. BioCAS 2019: 1-4 - [c8]Nan Wu, Adrien F. Vincent, Dmitri B. Strukov:
Preliminary Results Towards Reinforcement Learning with Mixed-Signal Memristive Neuromorphic Circuits. ISCAS 2019: 1-5 - [c7]Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein, Nicolas Locatelli, Adrien F. Vincent, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction. NANOARCH 2019: 1-5 - [i3]Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein, Nicolas Locatelli, Adrien F. Vincent, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction. CoRR abs/1908.04085 (2019) - 2018
- [c6]Nicolas Locatelli, Adrien F. Vincent, Damien Querlioz:
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks. ICECS 2018: 553-556 - [i2]Nicolas Locatelli, Adrien F. Vincent, Damien Querlioz:
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks. CoRR abs/1810.10836 (2018) - 2017
- [c5]Adrien F. Vincent, Nicolas Locatelli, Qifan Wu, Damien Querlioz:
Implications of the Use of Magnetic Tunnel Junctions as Synapses in Neuromorphic Systems. ACM Great Lakes Symposium on VLSI 2017: 317-320 - 2016
- [c4]Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Jacques-Olivier Klein, Fabien Alibart, Damien Querlioz:
Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures. IJCNN 2016: 947-954 - [i1]Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Fabien Alibart, Damien Querlioz:
Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures. CoRR abs/1606.08366 (2016) - 2015
- [j2]Damien Querlioz, Olivier Bichler, Adrien Francis Vincent, Christian Gamrat:
Bioinspired Programming of Memory Devices for Implementing an Inference Engine. Proc. IEEE 103(8): 1398-1416 (2015) - [j1]Adrien F. Vincent, Jerome Larroque, Nicolas Locatelli, Nesrine Ben Romdhane, Olivier Bichler, Christian Gamrat, Weisheng Zhao, Jacques-Olivier Klein, Sylvie Galdin-Retailleau, Damien Querlioz:
Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems. IEEE Trans. Biomed. Circuits Syst. 9(2): 166-174 (2015) - [c3]Nicolas Locatelli, Adrien F. Vincent, Alice Mizrahi, Joseph S. Friedman, Damir Vodenicarevic, Joo-Von Kim, Jacques-Olivier Klein, Weisheng Zhao, Julie Grollier, Damien Querlioz:
Spintronic devices as key elements for energy-efficient neuroinspired architectures. DATE 2015: 994-999 - 2014
- [c2]Adrien F. Vincent, Jerome Larroque, Weisheng Zhao, Nesrine Ben Romdhane, Olivier Bichler, Christian Gamrat, Jacques-Olivier Klein, Sylvie Galdin-Retailleau, Damien Querlioz:
Spin-transfer torque magnetic memory as a stochastic memristive synapse. ISCAS 2014: 1074-1077 - [c1]Miguel Diez-Garcia, Adrien F. Vincent, Nicolas Izard, Damien Querlioz:
Monte Carlo simulations of carbon nanotube networks for optoelectronic applications. NANOARCH 2014: 135-136
Coauthor Index
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